{"results":[{"id":"ss_5da930ace3f3d1564da651b963e8b238d13ce02a","title":"Environmental earth sciences","authors":[{"name":"O. Kolditz"},{"name":"Y. Zheng"},{"name":"Y. Ma"},{"name":"B. Kolditz"},{"name":"G. Dörhöfer"},{"name":"J. Lamoreaux"}],"abstract":"","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1007/s12665-025-12601-w","url":"https://www.semanticscholar.org/paper/5da930ace3f3d1564da651b963e8b238d13ce02a","is_open_access":true,"citations":169,"published_at":"","score":74.07},{"id":"ss_9661f2e09acea57e65cea3e72fbf93264295c610","title":"Machine learning in geo- and environmental sciences: From small to large scale","authors":[{"name":"P. Tahmasebi"},{"name":"S. Kamrava"},{"name":"T. Bai"},{"name":"M. Sahimi"}],"abstract":"Abstract In recent years significant breakthroughs in exploring big data, recognition of complex patterns, and predicting intricate variables have been made. One efficient way of analyzing big data, recognizing complex patterns, and extracting trends is through machine-learning (ML) algorithms. The field of porous media, and more generally geoscience, have also witnessed much progress, and recent progress in developing various ML techniques have benefitted various problems in porous media and geoscience across disparate scales. Thus, it is becoming increasingly clear that it is imperative to adopt advanced ML methods for the problems in porous media and geoscience because they enable researchers to solve many difficult problems. At the same time, one can use the already existing extensive knowledge of porous media to endow ML algorithms and develop novel physics-guided methods. The goal of this review paper is to provide the first comprehensive review of the recently developed methods in the ML algorithms and describe their application to porous media and geoscience. Thus, we review the basic concept of the ML and describe more advanced methods, known as deep-learning algorithms. Then, the application of such methods to various problems in porous media and geoscience, such as hydrological modeling, fluid flow in porous media, and (sub)surface characterization, are reviewed. We also provide a discussion of future directions in this rapidly developing field.","source":"Semantic Scholar","year":2020,"language":"en","subjects":null,"doi":"10.1016/j.advwatres.2020.103619","url":"https://www.semanticscholar.org/paper/9661f2e09acea57e65cea3e72fbf93264295c610","is_open_access":true,"citations":253,"published_at":"","score":71.59},{"id":"ss_96572e208d31840bf78b26f2efa33db3c045ff7a","title":"Quantitative evidence synthesis: a practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences","authors":[{"name":"Shinichi Nakagawa"},{"name":"Yefeng Yang"},{"name":"Erin L. Macartney"},{"name":"R. Spake"},{"name":"M. Lagisz"}],"abstract":"Meta-analysis is a quantitative way of synthesizing results from multiple studies to obtain reliable evidence of an intervention or phenomenon. Indeed, an increasing number of meta-analyses are conducted in environmental sciences, and resulting meta-analytic evidence is often used in environmental policies and decision-making. We conducted a survey of recent meta-analyses in environmental sciences and found poor standards of current meta-analytic practice and reporting. For example, only ~ 40% of the 73 reviewed meta-analyses reported heterogeneity (variation among effect sizes beyond sampling error), and publication bias was assessed in fewer than half. Furthermore, although almost all the meta-analyses had multiple effect sizes originating from the same studies, non-independence among effect sizes was considered in only half of the meta-analyses. To improve the implementation of meta-analysis in environmental sciences, we here outline practical guidance for conducting a meta-analysis in environmental sciences. We describe the key concepts of effect size and meta-analysis and detail procedures for fitting multilevel meta-analysis and meta-regression models and performing associated publication bias tests. We demonstrate a clear need for environmental scientists to embrace multilevel meta-analytic models, which explicitly model dependence among effect sizes, rather than the commonly used random-effects models. Further, we discuss how reporting and visual presentations of meta-analytic results can be much improved by following reporting guidelines such as PRISMA-EcoEvo (Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Ecology and Evolutionary Biology). This paper, along with the accompanying online tutorial, serves as a practical guide on conducting a complete set of meta-analytic procedures (i.e., meta-analysis, heterogeneity quantification, meta-regression, publication bias tests and sensitivity analysis) and also as a gateway to more advanced, yet appropriate, methods.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Medicine"],"doi":"10.1186/s13750-023-00301-6","url":"https://www.semanticscholar.org/paper/96572e208d31840bf78b26f2efa33db3c045ff7a","pdf_url":"https://environmentalevidencejournal.biomedcentral.com/counter/pdf/10.1186/s13750-023-00301-6","is_open_access":true,"citations":125,"published_at":"","score":70.75},{"id":"arxiv_2603.29722","title":"Fragmented Movements, Connected Opponents: Analyzing the Interconnectivity of Firms and Environmental Justice Organizations in Global Socio-Environmental Conflicts","authors":[{"name":"Dario Cottafava"},{"name":"José R. Nicolás-Carlock"},{"name":"Marcel Llavero-Pasquina"}],"abstract":"This study investigates the interconnectivity of firms and Environmental Justice Organizations (EJOs) involved in socio-environmental conflicts worldwide, using data from the Environmental Justice Atlas (EJAtlas). By constructing a multilayer network that links firms, conflicts, and EJOs, the research applies social network analysis to evaluate the simultaneous involvement of these actors across multiple disputes. Both projected networks of firms and EJOs have been analysed by aggregating nodes by categories and countries to reveal structural differences. Findings reveal a stark contrast between the interconnectedness of firms and EJOs. Multinational corporations form a cohesive global network, enabling them to coordinate strategies and exert influence across regions. Conversely, EJOs are fragmented, often operating in isolated clusters with limited interconnection but forming a robust, decentralized and self-organized global network. Firms network present a strong dependence on pertaining conflict category while EJOs network does not depend on conflict category. This structural difference suggests a risk of systemic and structural coordination for firms towards exploitative expansion while EJOs dynamics seems to be led by a white blood cells defense-like mechanism. While fragmentation may represents a critical challenge for social movements, decentralization and self-organization show a more diffuse global networks supported by a limited number of central hub able to build stronger global alliances to effectively counter the power dynamics of transnational corporations. By providing robust evidence of these networks, this research contributes to discuss how structural differences in global coordination for companies and EJOs directly derives as emergent properties depending on the purpose of the network itself, sectorial expansion for firms while ecosystem preservation for EJOs.","source":"arXiv","year":2026,"language":"en","subjects":["physics.soc-ph"],"url":"https://arxiv.org/abs/2603.29722","pdf_url":"https://arxiv.org/pdf/2603.29722","is_open_access":true,"published_at":"2026-03-31T13:22:15Z","score":70},{"id":"arxiv_2603.13126","title":"Developing the PsyCogMetrics AI Lab to Evaluate Large Language Models and Advance Cognitive Science -- A Three-Cycle Action Design Science Study","authors":[{"name":"Zhiye Jin"},{"name":"Yibai Li"},{"name":"K. D. Joshi"},{"name":" Xuefei"},{"name":" Deng"},{"name":" Xiaobing"},{"name":" Li"}],"abstract":"This study presents the development of the PsyCogMetrics AI Lab (psycogmetrics.ai), an integrated, cloud-based platform that operationalizes psychometric and cognitive-science methodologies for Large Language Model (LLM) evaluation. Framed as a three-cycle Action Design Science study, the Relevance Cycle identifies key limitations in current evaluation methods and unfulfilled stakeholder needs. The Rigor Cycle draws on kernel theories such as Popperian falsifiability, Classical Test Theory, and Cognitive Load Theory to derive deductive design objectives. The Design Cycle operationalizes these objectives through nested Build-Intervene-Evaluate loops. The study contributes a novel IT artifact, a validated design for LLM evaluation, benefiting research at the intersection of AI, psychology, cognitive science, and the social and behavioral sciences.","source":"arXiv","year":2026,"language":"en","subjects":["q-bio.NC","cs.AI"],"url":"https://arxiv.org/abs/2603.13126","pdf_url":"https://arxiv.org/pdf/2603.13126","is_open_access":true,"published_at":"2026-03-13T16:17:45Z","score":70},{"id":"arxiv_2602.24091","title":"The impacts of artificial intelligence on environmental sustainability and human well-being","authors":[{"name":"Noemi Luna Carmeno"},{"name":"Tiago Domingos"},{"name":"Daniel W. O'Neill"}],"abstract":"Artificial Intelligence (AI) is changing the world, but its impacts on the environment and human well-being remain uncertain. We conducted a systematic literature review of 1,291 studies selected from 6,655 records, identifying the main impacts of AI and how they are assessed. The evidence reveals an uneven landscape: 72% of environmental studies focus narrowly on energy use and CO2 emissions, while only 11% consider systemic effects. Well-being research is largely conceptual and overlooks subjective dimensions. Strikingly, 83% of environmental studies portray AI's impacts as positive, while well-being analyses show a near-even split overall (44% positive; 46% negative). However, this split masks differences across well-being dimensions. While the impacts of AI on income and health are expected to be positive, its impacts on inequality, social cohesion, and employment are expected to be negative. Based on our findings, we suggest several areas for future research. Environmental assessments should incorporate water, material, and biodiversity impacts, and apply a full life-cycle perspective, while well-being research should prioritise empirical analyses. Evaluating AI's overall impact requires accounting for computing-related, application-level, and systemic impacts, while integrating both environmental and social dimensions. Bridging these gaps is essential to understand the full scope of AI's impacts and to steer its development towards environmental sustainability and human flourishing.","source":"arXiv","year":2026,"language":"en","subjects":["cs.CY"],"url":"https://arxiv.org/abs/2602.24091","pdf_url":"https://arxiv.org/pdf/2602.24091","is_open_access":true,"published_at":"2026-02-27T15:28:29Z","score":70},{"id":"doaj_10.1016/j.iswcr.2025.09.004","title":"Global patterns of gully occurrence and their sensitivity to environmental changes","authors":[{"name":"Yixian Chen"},{"name":"Sofie De Geeter"},{"name":"Jean Poesen"},{"name":"Francis Matthews"},{"name":"Benjamin Campforts"},{"name":"Pasquale Borrelli"},{"name":"Panos Panagos"},{"name":"Matthias Vanmaercke"}],"abstract":"Gully formation is a significant driver of soil erosion and land degradation worldwide and often leads to important downstream impacts. Nonetheless, our understanding of the global patterns and the factors controlling this process remains limited. Here, we present the first global assessment of gully density's spatial patterns. Using mapped observations from over 17,000 representative study sites worldwide, we trained random forest models that simulate both the susceptibility to gullying at a 1 km2 resolution and the corresponding gully head density (GHD). Through an interpretable machine learning framework, we demonstrate that global GHD patterns result from a combination of environmental factors with non-linear interactions, leading to significant regional variations in the dominant factors controlling GHD. We distinguish between gully hotspots driven primarily by natural factors such as topography, geomorphology, tectonics, pedology or climate and those where land use and land cover play a dominant role. Based on these insights, we identified critical global areas of gully erosion, i.e., hotspots where gully occurrence is likely highly sensitive to anthropogenic drivers. These include the Chinese Loess Plateau, the Ethiopian Highlands, and large parts of the Mediterranean and Sahel regions. Also desert regions are often characterized by high GHDs. However, in these cases, their occurrence is mainly driven by natural factors. The insights we provide are valuable to inform land management and targeted erosion mitigation strategies.","source":"DOAJ","year":2026,"language":"","subjects":["Engineering (General). Civil engineering (General)"],"doi":"10.1016/j.iswcr.2025.09.004","url":"http://www.sciencedirect.com/science/article/pii/S209563392500111X","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/j.envres.2026.124338","title":"Serum PFAS concentrations and neuromorphometry in adolescents: The HOME Study","authors":[{"name":"Jasmine Haraburda"},{"name":"Jonathan Dudley"},{"name":"Kimberly Yolton"},{"name":"Yingying Xu"},{"name":"Joseph M. Braun"},{"name":"Aimin Chen"},{"name":"Bruce P. Lanphear"},{"name":"Kim M. Cecil"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/j.envres.2026.124338","url":"https://doi.org/10.1016/j.envres.2026.124338","is_open_access":true,"published_at":"","score":70},{"id":"ss_8bf0828e90a427ffd7f21669c0ecfc71c49ae978","title":"Co‐based Nanozymatic Profiling: Advances Spanning Chemistry, Biomedical, and Environmental Sciences","authors":[{"name":"Jingqi Li"},{"name":"Xinda Cai"},{"name":"Peng Jiang"},{"name":"Huayuan Wang"},{"name":"Shiwei Zhang"},{"name":"Tiedong Sun"},{"name":"Chunxia Chen"},{"name":"Kelong Fan"}],"abstract":"Nanozymes, next‐generation enzyme‐mimicking nanomaterials, have entered an era of rational design; among them, Co‐based nanozymes have emerged as captivating players over times. Co‐based nanozymes have been developed and have garnered significant attention over the past five years. Their extraordinary properties, including regulatable enzymatic activity, stability, and multifunctionality stemming from magnetic properties, photothermal conversion effects, cavitation effects, and relaxation efficiency, have made Co‐based nanozymes a rising star. This review presents the first comprehensive profiling of the Co‐based nanozymes in the chemistry, biology, and environmental sciences. The review begins by scrutinizing the various synthetic methods employed for Co‐based nanozyme fabrication, such as template and sol‐gel methods, highlighting their distinctive merits from a chemical standpoint. Furthermore, a detailed exploration of their wide‐ranging applications in biosensing and biomedical therapeutics, as well as their contributions to environmental monitoring and remediation is provided. Notably, drawing inspiration from state‐of‐the‐art techniques such as omics, a comprehensive analysis of Co‐based nanozymes is undertaken, employing analogous statistical methodologies to provide valuable guidance. To conclude, a comprehensive outlook on the challenges and prospects for Co‐based nanozymes is presented, spanning from microscopic physicochemical mechanisms to macroscopic clinical translational applications.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Medicine"],"doi":"10.1002/adma.202307337","url":"https://www.semanticscholar.org/paper/8bf0828e90a427ffd7f21669c0ecfc71c49ae978","is_open_access":true,"citations":100,"published_at":"","score":70},{"id":"arxiv_2502.17993","title":"A Perspective on Symbolic Machine Learning in Physical Sciences","authors":[{"name":"Nour Makke"},{"name":"Sanjay Chawla"}],"abstract":"Machine learning is rapidly making its pathway across all of the natural sciences, including physical sciences. The rate at which ML is impacting non-scientific disciplines is incomparable to that in the physical sciences. This is partly due to the uninterpretable nature of deep neural networks. Symbolic machine learning stands as an equal and complementary partner to numerical machine learning in speeding up scientific discovery in physics. This perspective discusses the main differences between the ML and scientific approaches. It stresses the need to develop and apply symbolic machine learning to physics problems equally, in parallel to numerical machine learning, because of the dual nature of physics research.","source":"arXiv","year":2025,"language":"en","subjects":["cs.LG","hep-ph","hep-th"],"url":"https://arxiv.org/abs/2502.17993","pdf_url":"https://arxiv.org/pdf/2502.17993","is_open_access":true,"published_at":"2025-02-25T09:02:02Z","score":69},{"id":"arxiv_2503.03142","title":"A Survey of Foundation Models for Environmental Science","authors":[{"name":"Runlong Yu"},{"name":"Shengyu Chen"},{"name":"Yiqun Xie"},{"name":"Xiaowei Jia"}],"abstract":"Modeling environmental ecosystems is essential for effective resource management, sustainable development, and understanding complex ecological processes. However, traditional methods frequently struggle with the inherent complexity, interconnectedness, and limited data of such systems. Foundation models, with their large-scale pre-training and universal representations, offer transformative opportunities by integrating diverse data sources, capturing spatiotemporal dependencies, and adapting to a broad range of tasks. This survey presents a comprehensive overview of foundation model applications in environmental science, highlighting advancements in forward prediction, data generation, data assimilation, downscaling, model ensembling, and decision-making across domains. We also detail the development process of these models, covering data collection, architecture design, training, tuning, and evaluation. By showcasing these emerging methods, we aim to foster interdisciplinary collaboration and advance the integration of cutting-edge machine learning for sustainable solutions in environmental science.","source":"arXiv","year":2025,"language":"en","subjects":["cs.LG"],"url":"https://arxiv.org/abs/2503.03142","pdf_url":"https://arxiv.org/pdf/2503.03142","is_open_access":true,"published_at":"2025-03-05T03:33:31Z","score":69},{"id":"arxiv_2501.03090","title":"Physics, Environment and Environmental Education; Perceptions from trainee Natural Science teachers","authors":[{"name":"Daniel Alejandro Valderrama"},{"name":"Marlon Damián Garzón Velasco"},{"name":"Lina Paola Alfonso Chaparro"}],"abstract":"Environmental Education (EE) is vital for shaping citizens who understand and value sustainability as an epistemological and practical alternative to mitigate current environmental issues. This research was prompted by the exploration of the relationship between EE and the physical sciences, connections that are often overlooked in curriculums and in the teaching processes of both this science and EE. It is essential to emphasize that physics provides conceptual frameworks and methodological tools that can enhance the understanding of environmental phenomena from a broad and multidimensional perspective. To delve into these connections, a study with a hermeneutic interpretative nuance was conducted. Through a questionnaire, the perceptions of prospective teachers in the natural sciences field regarding this topic were gathered. The findings revealed that a significant number of them recognize and value the correlation between physics and EE. From their perspective, this linkage is not only crucial for a comprehensive view of environmental dynamics but also to encourage students to develop critical, articulated, and well-founded thinking about environmental balance. The research also highlighted the didactic opportunities presented when intertwining physics with EE. By associating physical concepts with real environmental issues, learning can be reinforced, making it meaningful and enduring over time. This interdisciplinary fusion also holds the potential to increase students' motivation and interest, fostering a more active and engaged attitude in their educational journey","source":"arXiv","year":2025,"language":"en","subjects":["physics.ed-ph"],"doi":"10.22463/25909215.4164","url":"https://arxiv.org/abs/2501.03090","pdf_url":"https://arxiv.org/pdf/2501.03090","is_open_access":true,"published_at":"2025-01-06T15:47:41Z","score":69},{"id":"doaj_10.17179/excli2024-7998","title":"Phyto-derived interferons: a promising frontier in antiviral therapy development","authors":[{"name":"Baskar Venkidasamy"},{"name":"Ashok Kumar  Balaraman"},{"name":"Muthu Thiruvengadan"}],"abstract":"","source":"DOAJ","year":2025,"language":"","subjects":["Neoplasms. Tumors. Oncology. Including cancer and carcinogens","Biology (General)"],"doi":"10.17179/excli2024-7998","url":"https://www.excli.de/excli/article/view/7998","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.31548/plant1.2025.09","title":"Application of biologically active substances in agriculture preparations","authors":[{"name":"L. Krychkovska"},{"name":"M. Bobro"},{"name":"G. Birta"},{"name":"S. Karpushyna"},{"name":"Yu. Grytzaenko"}],"abstract":"High-quality, naturally protected seeds prior to sowing, along with growth activation of seedlings, represent a promising approach to stabilising crop yield and quality. Enhancing plant resistance to dynamic environmental stresses, including harmful organisms, is one of the strategies for realising the biological potential of crop yields in breeding and seed production. This research aimed to experimentally evaluate a preparation based on humic substances, film formers, a nanocomposite, succinic acid, and microbiological carotene. Experiments were conducted using spring barley and wheat seeds. A seed encrustation technology employing a functional preparation was applied. Laboratory and field experiments were conducted at V. Dokuchaev Kharkiv National Agrarian University, Department of Plant Growing, over two years. The experimental design and economic efficiency assessment of the functional preparation in enhancing yield was carried out according to established methodologies. Pre-sowing seed treatment with the preparation resulted in improved field germination, synchronised seedling emergence, and increased yield. Comprehensive studies revealed that the preparation was compatible with fungicides, demonstrating a synergistic effect of their joint protective effect. Experimental results confirmed that seed incrustation with protective and stimulating formulations based on water-soluble polymers is an effective method for protecting plants from seed- and soil-borne infections while reducing the level of environmental pollution. The extended and enhanced fungicidal activity of film-forming protective and stimulating compositions was also demonstrated. Agricultural production tests indicated that the developed preparation was user-friendly, environmentally safe, and economically efficient, contributing to increased crop yields. The positive test results support practical recommendations for its application in both seed encrustation and grain crop spraying during the tillering and milky-wax ripeness phases","source":"DOAJ","year":2025,"language":"","subjects":["Plant culture"],"doi":"10.31548/plant1.2025.09","url":"https://agriculturalscience.com.ua/journals/tom-16-1-2025/zastosuvannya-biologichno-aktivnikh-rechovin-u-preparatakh-dlya-silskogo-gospodarstva","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.5194/acp-25-8163-2025","title":"Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects","authors":[{"name":"S. Lou"},{"name":"S. Lou"},{"name":"S. Lou"},{"name":"M. Shrivastava"},{"name":"A. Albinet"},{"name":"S. Tomaz"},{"name":"S. Tomaz"},{"name":"D. Srivastava"},{"name":"D. Srivastava"},{"name":"O. Favez"},{"name":"H. Shen"},{"name":"A. Ding"},{"name":"A. Ding"},{"name":"A. Ding"}],"abstract":"\u003cp\u003eWe used the CAM5 model to examine how different particle-bound polycyclic aromatic hydrocarbon (PAH) degradation approaches affect the spatial distribution of benzo(a)pyrene (BaP). Three approaches were evaluated: NOA (no effect of OA coatings state on BaP), shielded (viscous OA coatings shield BaP from oxidation under cool and dry conditions) and ROI-T (viscous OA coatings slow BaP oxidation in response to temperature and humidity). Results show that BaP concentrations vary seasonally, influenced by emissions, deposition, transport and degradation approach, all of which are influenced by meteorological conditions. All simulations predict higher population-weighted global average (PWGA) fresh BaP concentrations during December–January–February (DJF) compared to June–July–August (JJA), due to increased emissions from household activities and reduced removal processes during colder months. The shielded and ROI-T approaches, which account for OA coatings, result in 2–6 times higher BaP concentrations in DJF compared to NOA. The shielded simulation predicts the highest PWGA fresh BaP concentration (1.3 \u003cspan class=\"inline-formula\"\u003eng m\u003csup\u003e−3\u003c/sup\u003e\u003c/span\u003e), with 90 % of BaP protected from oxidation. In contrast, the ROI-T approach forecasts lower concentrations in middle to low latitudes, as it assumes less effective OA coatings under warmer, more humid conditions. Evaluations against observed BaP concentrations show the shielded approach performs best, with a normalized mean bias (NMB) within \u003cspan class=\"inline-formula\"\u003e±\u003c/span\u003e 20 %. The combined incremental lifetime cancer risk (ILCR) for both fresh and oxidized PAHs is similar across simulations, emphasizing the importance of considering both forms in health risk assessments. This study highlights the critical role of accurate degradation approaches in PAH modeling.\u003c/p\u003e","source":"DOAJ","year":2025,"language":"","subjects":["Physics","Chemistry"],"doi":"10.5194/acp-25-8163-2025","url":"https://acp.copernicus.org/articles/25/8163/2025/acp-25-8163-2025.pdf","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1002/jcsm.70025","title":"Improving Muscle Function Through a Multimodal Behavioural Intervention for Knee Osteoarthritis and Obesity: The POMELO Trial","authors":[{"name":"Kristine Godziuk"},{"name":"Mary Forhan"},{"name":"Flavio T. Vieira"},{"name":"Joao F. Mota"},{"name":"Jason Werle"},{"name":"John A. Batsis"},{"name":"Lorenzo M. Donini"},{"name":"Mario Siervo"},{"name":"Carla M. Prado"}],"abstract":"ABSTRACT Background Treatments aimed at improving physical function and body composition, including reducing fat mass (FM) and increasing muscle mass, may benefit individuals with advanced knee osteoarthritis (OA) and obesity. We investigated the feasibility and efficacy of a multimodal behavioural intervention compared to usual care to enhance physical function and muscle mass in this population. Methods The POMELO (Prevention Of MusclE Loss in Osteoarthritis) study is a two‐arm pilot randomized controlled trial; NCT05026385. Participants aged 40–75 years, with a BMI ≥ 35 kg/m2 and knee OA were randomized 1:1 to either the intervention group (POMELO) or usual care (UC). The 3‐month POMELO intervention incorporated progressive resistance exercise (3 sessions/week), individualized nutrition counselling targeted for OA, and 12 group education sessions on nutrition and arthritis self‐management. The UC group received standard clinical care. After the 3‐month supervised intervention, both groups were followed for 6 months without support. Assessments at baseline, 3 months and 9 months (primary endpoint) included body composition (DXA, measuring FM and appendicular lean soft tissue [ALST]), physical function (chair‐sit‐to‐stands [CSTS], 6‐min walk [6MWT], maximal handgrip strength [HGS]), and health‐related quality of life (Euroqol visual analog scale [EQ‐5D VAS]). Co‐primary outcomes were feasibility (intervention completion ≥ 80% and per‐protocol adherence ≥ 60% [i.e., attendance at 12 education sessions and exercise 3 ×/week]) and acceptability (4‐item Likert‐scale satisfaction survey, and open‐ended questions). Secondary outcomes included changes in physical function and ALST. Results Fifty participants were randomized (POMELO = 25, UC = 25), with 32 completing the study (69% female, mean age 64.9 ± 1.2 years, BMI 42.1 ± 1.0 kg/m2). The POMELO intervention group had 80% completion and 74% adherence, confirming feasibility. Higher satisfaction rates were observed in POMELO compared to UC (3.5 vs. 2.2, p \u003c 0.001) indicating greater acceptability. The POMELO group had improvements in CSTS (mean difference [MD] 3.96, ES 1.2, p \u003c 0.001), 6MWT (MD 31.6 m, ES 0.4, p = 0.039) and EQ‐5D VAS (MD 7.9 points, ES = 0.4, p = 0.01) compared to UC. Both groups experienced FM loss, but only the UC group lost ALST and HGS. Conclusion The POMELO intervention, combining personalized nutrition, resistance exercise and self‐management support, was feasible, acceptable and showed greater efficacy than usual care to improve physical function in patients with knee OA and obesity. Our pilot study of this intervention showed potential benefits on body composition and quality of life without focusing on weight reduction. A larger study is needed to confirm these results, as this approach may offer advantages over usual care, potentially leading to better mobility and health outcomes.","source":"DOAJ","year":2025,"language":"","subjects":["Diseases of the musculoskeletal system","Human anatomy"],"doi":"10.1002/jcsm.70025","url":"https://doi.org/10.1002/jcsm.70025","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1038/s44168-025-00214-9","title":"Non-state actor perceptions of legitimacy and meaningful participation in international climate governance","authors":[{"name":"Lisa Dellmuth"},{"name":"Maria-Therese Gustafsson"},{"name":"Suanne Mistel Segovia-Tzompa"}],"abstract":"Abstract There is a lively debate about the legitimacy of the international climate regime, as represented by the United Nations Framework Convention on Climate Change, and the quality of non-state actor participation in the regime. This commentary examines perceptions of involved non-state actors from 2021–2022 regarding their participation and regime legitimacy. The findings reveal no legitimacy crisis for the adaptation and mitigation regimes, but the surveyed NSAs are divided in their legitimacy beliefs. NSAs also express significant disappointment about their opportunities for participation.","source":"DOAJ","year":2025,"language":"","subjects":["Meteorology. Climatology","Environmental sciences"],"doi":"10.1038/s44168-025-00214-9","url":"https://doi.org/10.1038/s44168-025-00214-9","is_open_access":true,"published_at":"","score":69},{"id":"crossref_10.1093/enendo/wkaf003","title":"Polyfluoroalkyl substances and altered glucose homeostasis in adolescents following bariatric surgery","authors":[{"name":"Elizabeth Costello"},{"name":"Brittney O Baumert"},{"name":"Zhenjiang Li"},{"name":"Vishal Midya"},{"name":"Shudi Pan"},{"name":"Justin R Ryder"},{"name":"Thomas H Inge"},{"name":"Todd M Jenkins"},{"name":"Stephanie Sisley"},{"name":"Stavra A Xanthakos"},{"name":"Anita Courcoulas"},{"name":"Douglas I Walker"},{"name":"Nikos Stratakis"},{"name":"Damaskini Valvi"},{"name":"Scott M Bartell"},{"name":"Angela L Slitt"},{"name":"Rohit Kohli"},{"name":"Sarah Rock"},{"name":"Michele A La Merrill"},{"name":"Sandrah P Eckel"},{"name":"Max T Aung"},{"name":"Rob McConnell"},{"name":"David V Conti"},{"name":"Lida Chatzi"}],"abstract":"Abstract Objectives Bariatric surgery is an effective treatment for severe obesity and associated metabolic comorbidities. Exposure to polyfluoroalkyl substance (PFAS) before bariatric surgery may attenuate improvements in glucose metabolism and explain some of the heterogeneity in post-surgery outcomes. Design This is an observational cohort study. Methods Adolescents (n = 186) enrolled in the Teen-Longitudinal Assessment of Bariatric Surgery study were included. Eight-PFAS congeners were measured in plasma before surgery. Linear and logistic regressions were used to examine cross-sectional associations between log2-transformed PFAS (ng/mL) and fasting glucose, insulin, hemoglobin A1c (HbA1c), and homeostatic model assessment for insulin resistance (HOMA-IR). Linear mixed models were used to examine the longitudinal associations between PFAS and outcomes measured at baseline and 6-, 12-, 36-, and 60-months post-surgery. Polyfluoroalkyl substance mixture associations at each visit were assessed using quantile g-computation. All models were adjusted for demographics, study site, and use of diabetes medication. Results Perfluorohexanesulfonic acid (PFHxS) was associated with greater increases in fasting glucose and HbA1c in the 1- to 5-year post-operative period: for instance, a PFHxS level of 1.95 log2-ng/mL was associated with a 3.30 mg/dL (95% CI: 1.23, 5.37) increase over 4 years, while a PFHxS level of −0.16 log2-ng/mL was associated with a 1.19 mg/dL (95% CI: −0.91, 3.29) increase. PFHxS, perfluoroheptanesulfonic acid, and perfluoroheptanoic acid were positively associated with insulin and HOMA-IR at baseline, but not in the 1- to 5-year post-operative period. Each simultaneous quartile increase in the PFAS mixture was associated with higher insulin and HOMA-IR at baseline, but this association did not persist at follow-up visits. Conclusions Perfluorohexanesulfonic acid exposure may attenuate improvement in fasting glucose and HbA1c after bariatric surgery. Improvements in insulin resistance after surgery were not associated with PFAS exposure.","source":"CrossRef","year":2025,"language":"en","subjects":null,"doi":"10.1093/enendo/wkaf003","url":"https://doi.org/10.1093/enendo/wkaf003","pdf_url":"https://academic.oup.com/enendo/advance-article-pdf/doi/10.1093/enendo/wkaf003/65288046/wkaf003.pdf","is_open_access":true,"published_at":"","score":69},{"id":"ss_8d95d9e41dc13ce437bbeb80c3e06f19fdb71e5e","title":"Replication across space and time must be weak in the social and environmental sciences","authors":[{"name":"M. Goodchild"},{"name":"Wenwen Li"}],"abstract":"Replicability takes on special meaning when researching phenomena that are embedded in space and time, including phenomena distributed on the surface and near surface of the Earth. Two principles, spatial dependence and spatial heterogeneity, are generally characteristic of such phenomena. Various practices have evolved in dealing with spatial heterogeneity, including the use of place-based models. We review the rapidly emerging applications of artificial intelligence to phenomena distributed in space and time and speculate on how the principle of spatial heterogeneity might be addressed. We introduce a concept of weak replicability and discuss possible approaches to its measurement.","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Medicine"],"doi":"10.1073/pnas.2015759118","url":"https://www.semanticscholar.org/paper/8d95d9e41dc13ce437bbeb80c3e06f19fdb71e5e","pdf_url":"https://www.pnas.org/content/pnas/118/35/e2015759118.full.pdf","is_open_access":true,"citations":125,"published_at":"","score":68.75},{"id":"ss_d8d231c42835c41f755f2b6bb89a6c93657fcea6","title":"Gentrification as a field of study in environmental sciences","authors":[{"name":"Gelber Rosas-Patiño"}],"abstract":"This article examines the interaction between gentrification and environmental sciences in Colombia, using a hermeneutic desk review approach to unravel how this urban phenomenon influences and is influenced by environmental factors. Through the hermeneutic circle method, adapted for a single researcher, a deep understanding of the existing literature is achieved and main lines of research are identified. Areas explored include green gentrification, climate change impacts, health and well-being effects, environmental justice, and associated public policies. The study highlights the need for policies that balance environmental improvement with social protection, and underlines the importance of including local communities in urban planning processes to prevent displacement and increase social equity. This interdisciplinary approach provides valuable insights to understand the complexity of gentrification and its multiple dimensions in an urban and environmental context","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.62486/gen202455","url":"https://www.semanticscholar.org/paper/d8d231c42835c41f755f2b6bb89a6c93657fcea6","is_open_access":true,"citations":19,"published_at":"","score":68.57}],"total":15188485,"page":1,"page_size":20,"sources":["arXiv","DOAJ","CrossRef","Semantic Scholar"],"query":"Environmental sciences"}